Method, device and system for forming adaptive beam

Abstract

Embodiments of the invention disclose a method and a device for forming an adaptive beam, equipment and a storage medium. The method comprises the following steps: acquiring a sound source direction and an audio stage at a current moment; determining a filter weight coefficient, a desired signal and a reference signal at the current moment; calculating according to a regularized adaptive filteringalgorithm or a traditional adaptive filtering algorithm of a cost function to obtain the filter weight coefficient of a next moment, or using the filter weight coefficient of the current moment as the filter weight coefficient of the next moment; and filtering an audio signal of the next moment based on the filter weight coefficient of the current moment. With adoption of a technical solution provided by embodiments of the invention, two adaptive algorithms with different noise suppression performances are combined according to sound source information are combined to obtain different filterweight coefficients for further filtering the audio signal, thereby solving a problem of directional voice damage while ensuring excellent nondirectional noise suppression performance, and improving robustness of the method for forming the adaptive beam.

Description

technical field

[0001] Embodiments of the present invention relate to the technical field of noise reduction, and in particular, to an adaptive beamforming method, device and system. Background technique

[0002] With the rapid development of electronic interference theory and technology, electronic interference poses a serious threat to radar and other equipment, and adaptive beamforming technology can effectively reduce this interference. Therefore, the research on adaptive beamforming technology is of great significance .

[0003] In the existing adaptive beamforming algorithm, for example, using the minimum variance undistorted response and adding the linear constraint minimum variance and other methods, some filtering algorithms are often combined in the filtering stage to achieve the purpose of suppressing noise. In some improvement schemes, for example, using an algorithm based on matrix subspace decomposition, after adding constraints to the algorithm itself, after ...

Images